Sanja Perović

46 papers receiving 1.1k citations

Peers

Sanja Perović
Comparison fields: 5 of 116
  • Biotechnology 367
  • Virology 54
  • Neurology 89
  • Paleontology 80
  • Cellular and Molecular Neuroscience 185
Replace Manuela Cervelli with:
Manuela Cervelli Italy
Alessandra Salvetti Italy
Corinna Bialojan Germany
H.Y. Lim Tung United States
Kei Hashimoto Japan
G. Villani Italy
Faisal F.Y. Radwan United States
Yanling Wang United States
Rong Han China
N. Manoj India
Sanja Perović relative to Manuela Cervelli Italy Manuela Cervelli's profile →
Citations per field
00.5×11.8×
Manuela Cervelli · 1×
Citations per year

Countries citing papers authored by Sanja Perović

Since Specialization
Citations

This map shows the geographic impact of Sanja Perović's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sanja Perović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanja Perović more than expected).

Fields of papers citing papers by Sanja Perović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanja Perović. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sanja Perović. The network helps show where Sanja Perović may publish in the future.

Co-authors

The 25 scholars most cited alongside Sanja Perović, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanja Perović Line = papers co-authored together Sanja Perović links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200286
2 199975
3 199973
4 199768
5
Pharmacological profile of hypericum extract. Effect on serotonin uptake by postsynaptic receptors.
199567
6 199763
7 199857
8 200357
9 200355
10 199452
11 199549
12 199534
13 199933
14 199932
15 199632
16 199628
17 199824
18 198922
19 199820
20 200120

About Sanja Perović

Sanja Perović is a scholar working on Molecular Biology, Biotechnology, Cellular and Molecular Neuroscience, History and Philosophy of Science and History, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Marine Sponges and Natural Products (14 papers), Prion Diseases and Protein Misfolding (9 papers), Historical Studies and Socio-cultural Analysis (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Historical and Literary Studies (4 papers), Invertebrate Immune Response Mechanisms (4 papers), European Political History Analysis (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Biotechnology (367 citations), Virology (54 citations), Neurology (89 citations), Paleontology (80 citations) and Cellular and Molecular Neuroscience (185 citations). Sanja Perović has collaborated with scholars based in Germany, Croatia and United Kingdom. Frequent co-authors include Wernér E.G. Müller, Heinz C. Schröder, Gabriela Pergande, Hiroshi Ushijima, Anatoli Krasko, Isabel M. Müller, Renate Steffen, Renato Batel, Michael Kruse and Vladislav A. Grebenjuk. Their work appears in journals such as Environmental Toxicology and Pharmacology, French Studies, History of European Ideas, Journal of Biotechnology and DNA and Cell Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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